RigBench data 2026-10-22

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TinySwallow 1.5B Instruct: VRAM needs and speed by GPU

We have 1 measured speed results for it.

1.54B parameters · license: apache-2.0 · GGUF files on Hugging Face

Measured speeds

ChipGeneration tok/sPrompt tok/sQuantBackendTestSource
Apple M4 Max (40-core GPU)328–MLX-4bitMLX short-chat decode (warm median)john-rocky apple-silicon-llm-bench (MIT) details

Memory needed per quantization

QuantFile sizeNeeds (estimate)Smallest card it fits
Q5_K_M1.1 GB2.0 GB8 GB cards
Q8_01.6 GB2.5 GB8 GB cards

Expected speed on popular hardware

HardwareBest quant that fitsExpected tok/s
NVIDIA RTX 3060Q8_0187 estimate
NVIDIA RTX 4060 TiQ8_0149 estimate
NVIDIA RTX 3090Q8_0398 estimate
NVIDIA RTX 4090Q8_0529 estimate
NVIDIA RTX 5090Q8_0697 estimate
AMD Radeon RX 7900 XTXQ8_0443 estimate
Apple M4 Pro (20-core GPU) (64 GB)Q8_0141 estimate
Apple M3 Max (40-core GPU) (64 GB)Q8_0205 estimate
AMD Ryzen AI Max+ 395 (Radeon 8060S)Q8_0126 estimate

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